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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 18597
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    Explanations

    food-related words, specifically related to meals

    oai_token-act-pair · gpt-3.5-turbo

    references to meals or food-related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idency
    -0.74
    ioxide
    -0.74
    ignty
    -0.72
     bluff
    -0.71
    itars
    -0.67
     Jed
    -0.65
     Morse
    -0.64
     Moff
    -0.63
    ados
    -0.62
    orporated
    -0.61
    POSITIVE LOGITS
    worms
    1.25
     meal
    1.13
     meals
    1.10
     Meal
    1.05
    mares
    0.99
     buffet
    0.98
     eaten
    0.97
    worm
    0.93
    cloth
    0.87
     cooked
    0.84
    Activations Density 0.019%

    No Known Activations